A corrosion management system was developed to predict atmospheric corrosion for general and localized corrosion of steels and aluminum alloys. The system can be extended to other materials and corrosion types. The corrosion management system is at an advanced prototype stage, with more work required, mainly in the software components, and is currently being commercialized. The system consists of two components: a Corrosion and Environmental Monitoring System (CEMS) that collects environmental data using deployable sensors and datalogging equipment, and the Atmospheric Corrosion Modelling software (ACM) that uses the CEMS data as well as meteorological and pollutant deposition data, available online, to make corrosion predictions. These corrosion predictions are not based on empirical corrosion data, nor corrosion sensors that are difficult to translate into structural corrosion rates. The ACM system can make predictions for current and future corrosion by using all/or a combination of sensor, meteorological or pollutant deposition data. Where, ideally CEMSs units are required for accuracy, but predictions could be made using online data alone, if restrictions limit CEMS deployments. The system can continuously assess current corrosivity and with meteorological data randomization future corrosion. The ACM is a science, time-based model that uses electrochemical, mechanistic, and environmental algorithms to predict corrosion. This allows the model to be deployed to new locations without long term corrosion testing. However, for validation purposes corrosion coupons were deployed with the CEMS and their corrosion compared to the ACM predictions, with excellent agreement between the two. For aluminum pitting corrosion ACM is the only validated model known to exist. The model predicts corrosion for each wetness period, and thus can be used to assess causality, that for pitting corrosion is important as individual extended periods of wetness dominated the damage witnessed.